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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 11362-11382 of 14,698 articles

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2

MRI and CT are essential clinical cross-sectional imaging techniques for diagnosing complex condit...

Nov 2024 http://arxiv.org/abs/2411.15802v1

[Artificial intelligence model for diagnosis of coronary artery disease based on facial photos].

To develop and validate an artificial intelligence (AI) diagnostic model for coronary artery diseas...

Nov 2024 39557525

[Investigation of the impact of the deep learning based CT fractional flow reserve on clinical decision-making and long-term prognosis in patients with obstructive coronary heart disease].

To investigate the impact of the deep-learning-based CT fractional flow reserve (CT-FFR) on clinica...

Nov 2024 39557526

Health AI Developer Foundations

Robust medical Machine Learning (ML) models have the potential to revolutionize healthcare by acce...

Nov 2024 http://arxiv.org/abs/2411.15128v2

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation

AI-driven models have demonstrated significant potential in automating radiology report generation...

Nov 2024 http://arxiv.org/abs/2411.15122v1

Uterine Ultrasound Image Captioning Using Deep Learning Techniques

Medical imaging has significantly revolutionized medical diagnostics and treatment planning, progr...

Nov 2024 http://arxiv.org/abs/2411.14039v1

Effective Mitigations for Systemic Risks from General-Purpose AI

The systemic risks posed by general-purpose AI models are a growing concern, yet the effectiveness...

Nov 2024 http://arxiv.org/abs/2412.02145v1

A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation

Background and Purpose: Accurate motion tracking in MRI-guided Radiotherapy (MRIgRT) is essential ...

Nov 2024 http://arxiv.org/abs/2411.07503v2

AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury

Hypoxic-Ischemic Encephalopathy (HIE) affects 1 to 5 out of every 1,000 newborns, with 30% to 50% ...

Nov 2024 http://arxiv.org/abs/2411.05188v1

Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations

In drug discovery, accurate lung tumor segmentation is an important step for assessing tumor size ...

Nov 2024 http://arxiv.org/abs/2411.00922v2

RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Generating accurate radiology reports from medical images is a clinically important but challengin...

Nov 2024 http://arxiv.org/abs/2411.00299v2

Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic study.

OBJECTIVES: To evaluate the performance of ultrasound-based deep learning (DL) models in distinguish...

Nov 2024 39288312

Boosting Deep Learning for Interpretable Brain MRI Lesion Detection through the Integration of Radiology Report Information.

Purpose To guide the attention of a deep learning (DL) model toward MRI characteristics of brain les...

Nov 2024 39377669

External Validation of a Previously Developed Deep Learning-based Prostate Lesion Detection Algorithm on Paired External and In-House Biparametric MRI Scans.

Purpose To evaluate the performance of an artificial intelligence (AI) model in detecting overall an...

Nov 2024 39400232

Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis.

Artificial intelligence (AI) models often face performance drops after deployment to external datase...

Nov 2024 39412405

Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis.

BACKGROUND: Integrating artificial intelligence (AI) into mammography screening can support radiolog...

Nov 2024 39455193

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Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2

[Artificial intelligence model for diagnosis of coronary artery disease based on facial photos].

[Investigation of the impact of the deep learning based CT fractional flow reserve on clinical decision-making and long-term prognosis in patients with obstructive coronary heart disease].

Health AI Developer Foundations

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation

Uterine Ultrasound Image Captioning Using Deep Learning Techniques

Effective Mitigations for Systemic Risks from General-Purpose AI

A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation

AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury

Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations

RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic study.

Boosting Deep Learning for Interpretable Brain MRI Lesion Detection through the Integration of Radiology Report Information.

External Validation of a Previously Developed Deep Learning-based Prostate Lesion Detection Algorithm on Paired External and In-House Biparametric MRI Scans.

Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis.

Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis.

Deep Learning Reconstruction in Abdominopelvic Contrast-Enhanced CT for The Evaluation of Hemorrhages.

Image-Based Generative Artificial Intelligence in Radiology: Comprehensive Updates.

Robotically steerable intraluminal imaging probe with side-viewing 3D photoacoustic computed tomography.

OpenMAP-T1: A Rapid Deep-Learning Approach to Parcellate 280 Anatomical Regions to Cover the Whole Brain.

Accelerating Brain MR Imaging With Multisequence and Convolutional Neural Networks.

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